Jean-Christophe Nebel, Ph.D
Affiliations: | 2004- | Computer Science and Mathematics | Kingston University London, Kingston upon Thames, England, United Kingdom |
Area:
Pattern recognition, machine learning, computer vision, protein bioinformaticsWebsite:
http://kunet.kingston.ac.uk/~ku33185/Google:
"https://scholar.google.com/citations?user=BzYyCR0AAAAJ&hl=en&oi=sra"Parents
Sign in to add mentor| Bernard Péroche | grad student | 2014-2017 | Université Jean Monnet - Saint-Etienne |
Children
Sign in to add trainee| Michal Lewandowski | grad student | 2011 | Kingston University London |
| Reyhaneh Esmaielbeiki | grad student | 2014 | Kingston University London |
| Jad Abbass | grad student | 2018 | Kingston University London |
| Ioannis Kazantzidis | grad student | 2019 | Kingston University London |
| Nati Ofir | grad student | 2021 | Kingston University London |
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Publications
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| Abbass J, Nebel JC. (2020) Enhancing fragment-based protein structure prediction by customising fragment cardinality according to local secondary structure. Bmc Bioinformatics. 21: 170 |
| Hirst NL, Nebel JC, Lawton SP, et al. (2020) Deep phosphoproteome analysis of Schistosoma mansoni leads development of a kinomic array that highlights sex-biased differences in adult worm protein phosphorylation. Plos Neglected Tropical Diseases. 14: e0008115 |
| Abbass J, Nebel J. (2020) Rosetta and the journey to predict proteins’ structures, 20 years on Current Bioinformatics. 15 |
| Nazir S, Yousaf MH, Nebel J, et al. (2018) A Bag of Expression framework for improved human action recognition Pattern Recognition Letters. 103: 39-45 |
| Kazantzidis I, Florez-Revuelta F, Dequidt M, et al. (2018) Vide-omics: A genomics-inspired paradigm for video analysis Computer Vision and Image Understanding. 166: 28-40 |
| Abbass J, Nebel J. (2017) Improved Rosetta protein structure prediction with customised fragments libraries based on structural class annotations F1000research. 6 |
| Abbass J, Nebel JC. (2016) Reduced Fragment Diversity for Alpha and Alpha-Beta Protein Structure Prediction using Rosetta. Protein and Peptide Letters |
| Nguyen TH, Nebel JC, Florez-Revuelta F. (2016) Recognition of Activities of Daily Living with Egocentric Vision: A Review. Sensors (Basel, Switzerland). 16 |
| Esmaielbeiki R, Krawczyk K, Knapp B, et al. (2015) Progress and challenges in predicting protein interfaces. Briefings in Bioinformatics |
| Abbass J, Nebel JC. (2015) Customised fragments libraries for protein structure prediction based on structural class annotations. Bmc Bioinformatics. 16: 136 |